• DocumentCode
    2830014
  • Title

    Cell Decomposition for Building Model Generation at Different Scales

  • Author

    Haala, Norbert ; Becker, Susanne ; Kada, Martin

  • Author_Institution
    Univ. Stuttgart, Stuttgart
  • fYear
    2007
  • fDate
    11-13 April 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Usually, 3D building reconstruction is realized by systems, which either apply constructive solid geometry (CSG) or boundary representation (B-Rep) to model the respective buildings. We present an alternative approach based on cell decomposition, which can be used efficiently for building reconstruction at different scales. Firstly, building polyhedrons are constructed from airborne LIDAR data and given outlines of the respective buildings. In this context, cell decomposition is used to guarantee topological correct representations and the simple implementation of constraints between different building parts like co-planarity or right angles. As it will be demonstrated in the second part of the paper, cell decomposition is also advantageous if large scale building models have to be generated for example based on the analysis of terrestrial LIDAR data.
  • Keywords
    geophysical signal processing; optical radar; remote sensing by radar; signal reconstruction; signal representation; airborne LIDAR data; boundary representation; building model generation; cell decomposition; constructive solid geometry; Buildings; Geometry; Heuristic algorithms; Image reconstruction; Large-scale systems; Laser radar; Parameter estimation; Remote sensing; Robustness; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Joint Event, 2007
  • Conference_Location
    Paris
  • Print_ISBN
    1-4244-0712-5
  • Electronic_ISBN
    1-4244-0712-5
  • Type

    conf

  • DOI
    10.1109/URS.2007.371856
  • Filename
    4234455